Motivation and Didactics

This presentation was created for an online workshop on practical data protection in research, which took place on 20 November 2025 as part of the RDMTraining4NFDI hybrid event’s interactive workshop series. The published materials also include the accompanying workshop Pad Template, available at https://pad.carpentries.org/Workshop-Motivation-and-didactics.The description provided to participants is given below. Effective teaching goes beyond delivering content. It’s about creating a learning environment that supports understanding, motivation, and engagement. This module explores how didactic design and motivational strategies can help trainers in research data management (RDM) create meaningful learning experiences. Drawing on principles from The Carpentries and evidence-based pedagogy, participants will learn how to manage cognitive load, use formative assessment to identify misconceptions, and adapt instruction to the learners’ level of expertise. The module also emphasizes the importance of maintaining motivation - both for learners and trainers - and of using positive, inclusive language that fosters participation and confidence. By reflecting on their own teaching practices and engaging in practical exercises, participants will develop a deeper understanding of how to make RDM training sessions more effective, learner-centered, and enjoyable. In this module, you will: Explore the relationship between expertise and teaching Identify and apply strategies to manage cognitive load Use formative assessments to support learning Recognize and address motivational factors in learners Create a positive and inclusive learning environment Instructor notes are available at https://carpentries.github.io/instructor-training/.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-20
DOI
https://doi.org/10.5281/zenodo.17701666
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Motivation and Didactics

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Motivation and Didactics

article en

Abstract

This presentation was created for an online workshop on practical data protection in research, which took place on 20 November 2025 as part of the RDMTraining4NFDI hybrid event’s interactive workshop series. The published materials also include the accompanying workshop Pad Template, available at https://pad.carpentries.org/Workshop-Motivation-and-didactics.The description provided to participants is given below. Effective teaching goes beyond delivering content. It’s about creating a learning environment that supports understanding, motivation, and engagement. This module explores how didactic design and motivational strategies can help trainers in research data management (RDM) create meaningful learning experiences. Drawing on principles from The Carpentries and evidence-based pedagogy, participants will learn how to manage cognitive load, use formative assessment to identify misconceptions, and adapt instruction to the learners’ level of expertise. The module also emphasizes the importance of maintaining motivation - both for learners and trainers - and of using positive, inclusive language that fosters participation and confidence. By reflecting on their own teaching practices and engaging in practical exercises, participants will develop a deeper understanding of how to make RDM training sessions more effective, learner-centered, and enjoyable. In this module, you will: Explore the relationship between expertise and teaching Identify and apply strategies to manage cognitive load Use formative assessments to support learning Recognize and address motivational factors in learners Create a positive and inclusive learning environment Instructor notes are available at https://carpentries.github.io/instructor-training/.

Zenodo (CERN European Organization for Nuclear Research)
ZB MED - Information Centre for Life Sciences (DE)
Quality Education
Openalex Percentile: Top 30%
Research Data Management Practices
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